The Hepsia web hosting Control Panel comprises a full-featured database administration graphical user interface, which will give you complete authority over your DBs. You can effortlessly create new MySQL and PgSQL DBs and administer their settings via the phpMyAdmin and phpPgAdmin database administration tools respectively.
With the Database Manager GUI, you can set up a brand new DB in seconds - simply specify its name and that's all. You will see a list of all your DBs and their corresponding sizes. You will be able to alter passwords, to create database backups and to even log in to the phpMyAdmin and phpPgAdmin tools.
It is very important to make regular backups of your databases to protect your web site content and to avoid any incidental loss of data. With the Database Manager graphical user interface, creating a database backup is very easy. Simply press the Backup button next to the database you want to back up and you will be instantaneously taken to the File Manager section from where you can download your freshly created database backup file.
The number of PostgreSQL and/or MySQL databases that you can set up varies depending on the shared hosting package that you have chosen. While MySQL is a very popular database management system utilized by 1 000 000's of individuals around the world, PostgreSQL is thought of as being a more advanced database management system and is mainly used by tech-savvy website administrators. You can administer your MySQL databases through the phpMyAdmin tool, while PostgreSQL databases can be managed via the phpPgAdmin tool.
InnoDB is the leading database engine for the MySQL DBMS, which is aimed at securing user data and at increasing multi-user concurrency and performance. When you would like to create a new database table, just log in to the Hepsia Control Panel-incorporated phpMyAdmin database administration tool and choose the InnoDB database engine from the list of available engines.
Hepsia's Database Manager also contains elaborate stats about your databases, including the number of hourly database requests. This will give you an idea of how much load is generated over a particular period.
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